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Computer Vision Engineer Jobs in Seattle, WA (NOW HIRING)

Paradigm

Senior Applied ML Engineer

Seattle, WA · Remote

$125K - $183K/yr

You will apply advanced ML techniques--ranging from computer vision to large language models--to ... This role blends research, engineering, and domain expertise to deliver practical, production-ready ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA

... computer vision in agricultural environments * Own model optimization and deployment pipelines ... Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning ... Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA

$14/hr

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning ... Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

$14/hr

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning ... Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact ...

SVMT, Inc.

Senior Software Engineer

Seattle, WA · On-site

$139K - $183K/yr

... computer vision technology. Work with other engineers to implement and launch that solution ... Qualifications * 5+ years experience in a production software development environment * Experience ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Seattle, WA

Computer Vision Engineer information

See Seattle, WA salary details

$55.2K

$138.3K

$156.5K

How much do computer vision engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for computer vision engineer in Seattle, WA is $138,288.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $149,600.00 per year, depending on experience, location, and employer.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.
More about Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in Seattle, WA? The most popular types of Computer Vision Engineer jobs in Seattle, WA are:
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What job categories do people searching Computer Vision Engineer jobs in Seattle, WA look for? The top searched job categories for Computer Vision Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Computer Vision Engineer jobs? Cities near Seattle, WA with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Applied Scientist, Last Mile Delivery Automation

Applied Scientist, Last Mile Delivery Automation

Amazon

Bellevue, WA

Full-time

Posted 14 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,872 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

As an Applied Scientist for Last Mile Delivery Automation, you will be at the forefront of developing AI and ML solutions that power our delivery solutions. This role combines deep expertise in machine learning, computer vision, and robotics to solve complex challenges in real-world perception, navigation, and path planning. You will work closely with applied scientists, software developers, and product teams to research, design, and implement sophisticated algorithms that enable safe and efficient operations.

This position requires a unique blend of theoretical knowledge and practical implementation skills, with a focus on transforming research concepts into production-ready solutions that can operate reliably in diverse real-world environments.
Key job responsibilities
- Design and develop advanced machine learning models and algorithms for perception, navigation and planning.
- Lead research initiatives in areas such as computer vision, sensor fusion, behavioral prediction, and path planning
- Transform research concepts into production-ready solutions that meet strict safety and performance requirements
- Develop novel approaches to solve complex technical challenges in perception, navigation and planning
- Create and implement metrics and evaluation frameworks to measure model performance
- Collaborate with engineering teams to integrate ML solutions into production stack
- Publish research findings and represent Amazon at technical conferences
About the team
The Applied Science team within Amazon's Last Mile Delivery Automation organization focuses on developing machine learning solutions for autonomous systems. We work at the intersection of computer vision, deep learning, robotics, and control systems to create robust and scalable algorithms that enable safe autonomous operation

Our team combines expertise from diverse scientific backgrounds to tackle fundamental challenges in perception, prediction, and decision-making.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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